# Amazon Nova Pro vs Qwen3.5 27B

> Qwen3.5 27B is the stronger model overall, scoring 41.4 to 30.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-qwen3-5-27b
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and Qwen3.5 27B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 27B leads 59.5 to 44.1.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 5.1% for Amazon Nova Pro and 12.1% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 30.5 | 41.4 |
| Rank | 278 | 127 |
| Context | 300K | 262K |
| Input $/M | $0.80 | $0.30 |
| Output $/M | $3.20 | $2.40 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- Qwen3.5 27B: 38.6 (#159)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Coding | 1270 | 1427 |
| LMArena WebDev | — | 1357 |
| WeirdML | — | 39.5% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 349.45 |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- Qwen3.5 27B: —

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| Vending-Bench 2 | — | 201.98 |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- Qwen3.5 27B: 26.6 (#116)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1414 |
| NYT Connections (extended) | — | 47.9% |
| Thematic Generalization | — | 45.5% |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 82.4% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 34% |
| Epoch Capabilities Index | 123.75 | — |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 26.4 (#240)
- Qwen3.5 27B: 36.8 (#103)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1252 | 1428 |
| MathArena Final-Answer Competitions | — | 56.7% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- Qwen3.5 27B: 37.4 (#149)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | 5.1% | 12.1% |
| LMArena Expert | 1211 | 1428 |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- Qwen3.5 27B: 38.7 (#56)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | 980 | 1240 |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- Qwen3.5 27B: 51.0 (#112)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1234 | 1390 |
| LMArena Chinese | 1244 | 1478 |
| LMArena French | 1270 | 1409 |
| LMArena German | 1243 | 1393 |
| LMArena Japanese | 1200 | 1345 |
| LMArena Korean | 1203 | 1359 |
| LMArena Russian | 1240 | 1389 |
| LMArena Spanish | 1182 | 1408 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- Qwen3.5 27B: 73.7 (#114)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1235 | 1393 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- Qwen3.5 27B: 43.1 (#103)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1255 | 1413 |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- Qwen3.5 27B: 59.5 (#106)

| Benchmark | Amazon Nova Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1259 | 1409 |
| LMArena Creative Writing | 1212 | 1362 |
| LMArena Multi-Turn | 1245 | 1410 |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.4 to 30.5 on the Noometry Index.

### Which is cheaper, Amazon Nova Pro or Qwen3.5 27B?

Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Qwen3.5 27B better for coding?

Qwen3.5 27B scores higher on coding benchmarks: 38.6 versus 34.6 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 262K.

### How many benchmarks do Amazon Nova Pro and Qwen3.5 27B share?

19 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen3.5 27B has 28.